近五年主持或参加科研项目(课题)及人才计划项目情况:

1. 自然科学基金面上项目，62372216，基于脑电信号的抑郁识别关键技术研究;

2. 国家科技部，科技创新2030--“脑科学与类脑研究”重点项目， 2022ZD0208500，新型无创脑机接口：理论、技术与应用示范;

3. 甘肃省科技厅, 甘肃省自然科学基金重点项目，22JR5RA410, 基于脑电源定位的抑郁症患者脑网络模型研究;

4. 自然科学基金重点项目， 61632014， 注意神经机制的可计算模型研究;

5. 科技部, 国家“973”计划, 2014CB744600, 基于生物、心理多模态信息的潜在抑郁风险预警理论与生物传感关键技术研究。

近期发表论文：

[1]. Huayu Chen, Li Junxiang, Huanhuan He, et al. Toward the Construction of Affective Brain-Computer Interface: A Systematic Review[J]. ACM COMPUTING SURVEYS, 2025, 57(6):156.

[2]. Qu Shanshan, Dixin Wang, Chang Yan, et al. Depression recognition using high-order generalized multilayer brain functional network fused with EEG multi-domain information[J]. INFORMATION FUSION, 2025, 114:102723.

[3]. Huayu Chen, Li Junxiang, Huanhuan He, et al. VAE-CapsNet: A common emotion information extractor for cross-subject emotion recognition[J]. KNOWLEDGE-BASED SYSTEMS, 2025, 311:113018.

[4]. Luo Gang, Han Yutong, Weichu Xie, et al. GCD-JFSE: Graph-based class-domain knowledge joint feature selection and ensemble learning for EEG-based emotion recognition[J]. KNOWLEDGE-BASED SYSTEMS, 2025, 309:112770.

[5]. Huang Jun, Xin Liu, Li Yizhou, et al. Composite multi-span amplitude-aware ordinal transition network: Fine-grained representation and quantification of complex system time series[J]. CHAOS SOLITONS&FRACTALS, 2025, 197:116487.

[6]. Luo Gang, Shuting Sun, Chang Yan, et al. IMGWOFS: A Feature Selector with Trade-off between Conflict Objectives for EEG-based Emotion Recognition[J]. IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2024:1-13.

[7]. J. Zhu et al., Mutual Information Based Fusion Model (MIBFM): Mild Depression Recognition Using EEG and Pupil Area Signals, IEEE Transactions on Affective Computing, vol. 14, no. 3, pp. 2102-2115, 1 July-Sept. 2023

[8]. J. Li, Y. Hao, W. Zhang, X. Li and B. Hu, "Effective Connectivity Based EEG Revealing the Inhibitory Deficits for Distracting Stimuli in Major Depression Disorders" in IEEE Transactions on Affective Computing, vol. 14, no. 01, pp. 694-705, 2023.

[9]. J. Li, et al.,"Altered Brain Dynamics and Their Ability for Major Depression Detection Using EEG Microstates Analysis" in IEEE Transactions on Affective Computing, vol. 14, no. 03, pp. 2116-2126, 2023.

[10]. H. Chen, et al.,"Personal-Zscore: Eliminating Individual Difference for EEG-Based Cross-Subject Emotion Recognition" in IEEE Transactions on Affective Computing, vol. 14, no. 03, pp. 2077-2088, 2023.